We adopted MutlVAE [1]} and EASE\(^{R}\)  [2]} as the base models of LOCA, i.e., LOCA\(_{VAE}\)  and LOCA\(_{EASE}\) . We compared our models with the global models such as WMF [3]}, SLIM [4]}, CDAE [5]}, MultVAE [1]}, EASE\(^{R}\)  [2]}, and RecVAE [8]}, the latter two being the state-of-the-art models exhibiting the best performance on large-scale datasets. We compare our models with the local models such as LLORMA [9]}, [10]}, and sGLSVD [11]}, where MF [12]} and SVD [13]} were the base models, respectively.
